Master of Science in Data Science

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Full-Time
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On Campus
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30 Credits*

*Students with prior computer programming, math, and statistics coursework will complete 30 credits. Students without such an academic background may need to complete an additional 12 credits.

Suffolk’s Master of Science in Data Science (MSDS) prepares students with the advanced programming skills, quantitative reasoning acumen, and ethical foundation needed to optimize data and drive solutions in any industry. Combining intensive courses in programming, machine learning, AI, and database management with interdisciplinary electives, you’ll learn how to apply data collection, analysis, and visualization techniques effectively and responsibly to real-world issues in psychology, communications, bioinformatics, or econometrics. Through internships and independent study options across disciplines, you’ll also have invaluable opportunities to gain hands-on experience and expand your professional network.

As a student in Suffolk’s data science master’s degree program, you will:

  • Master the tools and languages commonly used in data science, as well as the underlying algorithms and data structures
  • Work effectively in interdisciplinary teams and manage data science projects from conception to completion
  • Understand the ethical implications of data usage, privacy concerns, and the responsible interpretation and communication of data findings
  • Learn to effectively communicate and visualize data for various audiences
  • Practice practical application of theoretical knowledge through cross-department electives, internships, and independent study options

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MSDS Fast Facts
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35%
projected increase in data science job openings by 2032*
$177,677
median data scientist salary per year**
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22%
of all U.S. job postings require data science skills±
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STEM
eligible for OTP
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9 credits
per semester for full-time status

*U.S. Bureau of Labor Statistics | **Glassdoor (as of June 2024) | ± The Burning Glass Institute



Q&A with Program Director

Read the full Q&A

MSDS Program Overview

The master’s in data science equips students with advanced technical training in machine learning, visualization, AI, and database management, as well as a deep understanding of algorithms and data structures. Paired with courses in advanced calculus, linear algebra, and statistics, you’ll develop strong analytical skills crucial for modeling complex problems, understanding data patterns, and making informed decisions based on quantitative analysis. You’ll then work with departments across the College of Arts & Sciences to apply data science techniques to specialty fields such as: bioinformatics, psychology, econometrics, communications, or business intelligence.
View the MSDS Curriculum

Requirements

Core Requirements 21 Credits (7 Courses)
Electives 9 Credits (3 Courses)
Total 30 Credits (10 Courses)


Explore Our Data-Driven Graduate Degrees

Suffolk offers two data-driven advanced degrees – the College of Arts & Sciences' MS in Data Science and the Sawyer Business School’s MS in Business Analytics. Here is a program comparison to help you determine which option aligns with your interests and professional goals.

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MS in Data Science

  • College of Arts & Sciences program
  • For those interested in developing data analysis tools, as well as applying data science techniques to multidisciplinary domains
  • Potential job titles include data scientist, machine learning engineer, and data engineer

Program Highlights

  • Focuses on advanced technical skills in programming, machine learning, AI, and database management
  • Emphasizes interdisciplinary application of knowledge and ethical data practices
  • Provides practical experience through internships and cross-department research opportunities

Students sitting at a desk in business attire

MS in Business Analytics

  • Sawyer Business School program
  • For those interested in mastering data analytics tools to solve for business challenges
  • Potential job titles include business analyst, business intelligence analyst, data consultant

Program Highlights

  • Focuses on applying data analytics to business decisions
  • Combines technical training with business acumen
  • Emphasizes case studies and client-based projects
Learn more about the MS in Business Analytics 

Advising & Other Resources

Our Graduate Student Services team is here to support you every step of the way. From application advising to financial aid counseling and international student resources, we provide a wide range of services to help you get the most out of your education. You’ll also have the opportunity to participate in professional development workshops throughout the year, as well as lifelong access to all of the tools and resources offered by our Center for Career Equity, Development & Success.


Strategic Partnerships

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Interdisciplinary Studies

At Suffolk, data science is not a theoretical discipline. You’ll work with dedicated faculty and students across the College of Arts & Sciences taking data science application courses in diverse fields — such as psychology, economics, biology, and communications — and apply your skills to real world problems.

Learn which economic factors shape consumer behavior, and how algorithms impact the information we’re exposed to on social media. Use your computer modeling skills to analyze how perceptions of mental health have changed over time, or parse mountains of data rapidly to unlock the mechanisms behind genetic mutations.

You’ll collaborate with experts to understand the most pressing and complex issues in their fields, then provide data-driven insights that can lead to informed, ethical, practical solutions -- engaging with important questions as you learn and preparing for a career of immediate and lifelong impact.

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If you learn best by doing, you’ll thrive in our hands-on program and in this ever-changing field.

Working with real data sets and client projects in your classes, you’ll gain a strong foundation in machine-learning, programming, and data modeling, and sharpen your ability to communicate your insights both visually and verbally. You’ll put these in-demand skills to work through internships and independent studies that will help you bridge the gap between theory and practice while you build your professional network. And you’ll do it all in Boston, a global hub for technology and innovation.

Center for Career Equity, Development & Success

The Career Center will help you explore career options, plan your path, and land your dream internship or job. You’ll find practical help, like how to write an effective résumé or LinkedIn profile, along with valuable connections to leading employers and successful alumni.

Applying to Suffolk’s MSDS Program

Application Deadlines

Applications are for Fall semester only.

  • January 15 (Round 1)
  • April 1 (Round 2)
  • June 16 (Round 3)

Applications will be considered on a rolling, space available basis after June 16.

Learn about the advantages of priority applications.

Application Materials

  • Completed application
  • $50 Application Fee (waived for students who visit campus or attend an event virtually)
  • Resume
  • Goal Statement (custom prompt)
  • Two letters of recommendation (learn more)
  • Unofficial transcripts of all post-secondary work. Admitted students enrolling in the program will need to have official transcripts, including proof of degree conferral, on file prior to their first class
  • Official TOEFL, IELTS, Duolingo or PTE-Academic Scores (international students only)

View details about application materials required.

Cost of Graduate Study at Suffolk

View current tuition and fees for this program

Financial Aid for Graduate Study

Suffolk University is pleased to offer merit-based financial aid to graduate students—these awards can be up to $14,750 per academic year. Merit-based aid is awarded based on the applicant's academic credentials presented on the admission application. No separate application is required for merit consideration.

View estimated cost of attendance

Questions? Get in touch!

Dmitry Zinoviev

Dmitry Zinoviev

Professor, Program Director of MS in Data Science

Email [email protected]

Send a Message

 

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